Qwen-Image-2.1-Turbo-Quantized vs sd-xl-alternative-bases
Specs, VRAM requirements and download trends — updated 4 November 2026.
benjamin-paine · B · Open weights
Params
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Context
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30d
73 K
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Turbo-Quantized | sd-xl-alternative-bases |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | openrail++ |
| Commercial use | Unknown | Conditional |
| Languages | — | — |
| Downloads 30d | 89,977 | 72,596 |
| Downloads all time | 2.1 M | 106 K |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2023-10-18 |
Download trend
Daily snapshots, last 7 days (4 Nov – 10 Nov)
2.5 M65 K
Qwen-Image-2.1-Turbo-Quantized
sd-xl-alternative-bases
A overtook B on 9 Nov
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Turbo-Quantized · Q4_0
5.0 GB / 24 GB
sd-xl-alternative-bases · fp16
15.9 GB / 24 GB
Qwen-Image-2.1-Turbo-Quantized · fp16
70.3 GB / 24 GB